Multiple Linear Regression - Estimated Regression Equation
TP[t] = -0.0121356415311825 + 0.000805683855140832TFC[t] + 1.00000036949678TLC[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.01213564153118250.006854-1.77070.0888060.044403
TFC0.0008056838551408327.6e-0510.600600
TLC1.000000369496781.9e-0551897.381700


Multiple Linear Regression - Regression Statistics
Multiple R0.999999995538385
R-squared0.999999991076769
Adjusted R-squared0.999999990362911
F-TEST (value)1400837944.98238
F-TEST (DF numerator)2
F-TEST (DF denominator)25
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.017464285786839
Sum Squared Residuals0.00762503195110968


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1186.59186.593392468886-0.00339246888560547
2244.665244.6585388047140.00646119528615234
3248.18248.1714930123050.00850698769533448
4253.568253.589528480222-0.0215284802215854
5171.242171.244792058849-0.00279205884871004
6413.971413.955593377120.0154066228798805
7216.89216.892534627559-0.00253462755911449
8227.901227.9001975251410.000802474859051047
9259.823259.833327901733-0.010327901733285
10148.438148.438862516965-0.000862516965367679
11241.013240.9865725348330.0264274651665664
12206.248206.250796571047-0.00279657104653548
13108.908108.8694472526080.0385527473917054
14267.952267.961010023966-0.00901002396600199
15314.219314.2146241934140.00437580658550967
16235.115235.144203857456-0.0292038574561778
17203.027203.0228522162970.00414778370341505
18365.415365.429595002195-0.0145950021944671
19350.933350.934335774206-0.00133577420574537
20263.304263.346854423931-0.0428544239306001
21738.751738.748236350090.00276364991047115
22959.073959.0724433736230.000556626377130978
23483.828483.8007446141980.027255385801997
24213.016213.0055740599490.0104259400512732
25177.341177.3209812249560.0200187750442203
26352.622352.630766712989-0.00876671298891675
27352.622352.630766712989-0.00876671298891675
28217.307217.313934327762-0.00693432776167822


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.2146768015093560.4293536030187130.785323198490644
70.1047587032719210.2095174065438420.895241296728079
80.04484013988921390.08968027977842780.955159860110786
90.01936740562877270.03873481125754530.980632594371227
100.007017156042114620.01403431208422920.992982843957885
110.03451138732117930.06902277464235860.965488612678821
120.01668164309439840.03336328618879670.983318356905602
130.2175880127703170.4351760255406350.782411987229683
140.1407508916902660.2815017833805320.859249108309734
150.164630015542420.329260031084840.83536998445758
160.2193373400794770.4386746801589550.780662659920523
170.1502903754142520.3005807508285040.849709624585748
180.1184273470322280.2368546940644560.881572652967772
190.08708285247249160.1741657049449830.912917147527508
200.5598577691187950.880284461762410.440142230881205
210.4117035710860710.8234071421721430.588296428913929
220.6933888792975750.6132222414048510.306611120702425


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.176470588235294NOK
10% type I error level50.294117647058824NOK